FM / mkl

/usr/local/lib64/python3.6/site-packages/caffe2/python/mkl/

/usr/local/lib64/python3.6/site-packages/caffe2/python/mkl

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
mkl_concat_op_test.py	1173	0644	edit dl rm
mkl_conv_op_test.py	1684	0644	edit dl rm
mkl_copy_op_test.py	2149	0644	edit dl rm
mkl_elementwise_add_op_test.py	1201	0644	edit dl rm
mkl_elementwise_sum_op_test.py	1334	0644	edit dl rm
mkl_fc_op_test.py	927	0644	edit dl rm
mkl_fc_speed_test.py	3849	0644	edit dl rm
mkl_fill_op_test.py	1019	0644	edit dl rm
mkl_LRN_op_test.py	1160	0644	edit dl rm
mkl_LRN_speed_test.py	3182	0644	edit dl rm
mkl_pool_op_test.py	1332	0644	edit dl rm
mkl_pool_speed_test.py	4210	0644	edit dl rm
mkl_relu_op_test.py	988	0644	edit dl rm
mkl_sbn_op_test.py	3110	0644	edit dl rm
mkl_sbn_speed_test.py	4600	0644	edit dl rm
mkl_sigmoid_op_test.py	833	0644	edit dl rm
mkl_speed_test.py	3079	0644	edit dl rm
mkl_squeeze_op_test.py	968	0644	edit dl rm
rewrite_graph.py	8433	0644	edit dl rm
rewrite_graph_test.py	7889	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/mkl/mkl_copy_op_test.py (2149B)

@unittest.skipIf(not workspace.C.has_mkldnn,
                 "Skipping as we do not have mkldnn.")
class MKCopyTest(hu.HypothesisTestCase):
    @given(width=st.integers(7, 9),
           height=st.integers(7, 9),
           input_channels=st.integers(1, 3),
           batch_size=st.integers(1, 3),
           **mu.gcs)
    def test_mkl_copy(self,
                      width,
                      height,
                      input_channels,
                      batch_size,
                      gc, dc):
        X = np.random.rand(
            batch_size, input_channels, width, height).astype(np.float32)
        self.ws.create_blob("X").feed(X, pb2.DeviceOption())
        self.ws.run(core.CreateOperator(
            "CopyCPUToMKL",
            ["X"],
            ["X_MKL"],
            device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
        ))
        self.ws.run(core.CreateOperator(
            "CopyMKLToCPU",
            ["X_MKL"],
            ["X_copy"],
            device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
        ))
        np.testing.assert_array_equal(X, self.ws.blobs["X_copy"].fetch())

@given(n=st.sampled_from([0, 10]))
    def test_mkl_zero_copy(self, n):
        shape = (0, n)
        X = np.zeros(shape=shape).astype(np.float32)
        self.ws.create_blob("X").feed(X, pb2.DeviceOption())
        self.ws.run(core.CreateOperator(
            "CopyCPUToMKL",
            ["X"],
            ["X_MKL"],
            device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
        ))
        self.ws.run(core.CreateOperator(
            "CopyMKLToCPU",
            ["X_MKL"],
            ["X_copy"],
            device_option=pb2.DeviceOption(device_type=pb2.MKLDNN)
        ))
        np.testing.assert_equal(shape, self.ws.blobs["X_copy"].fetch().shape)

if __name__ == "__main__":
    import unittest
    unittest.main()

import unittest import hypothesis.strategies as st from hypothesis import given import numpy as np from caffe2.python import core, workspace import caffe2.python.hypothesis_test_util as hu import caffe2.python.mkl_test_util as mu import caffe2.proto.caffe2_pb2 as pb2 @unittest.skipIf(not workspace.C.has_mkldnn, "Skipping as we do not have mkldnn.") class MKCopyTest(hu.HypothesisTestCase): @given(width=st.integers(7, 9), height=st.integers(7, 9), input_channels=st.integers(1, 3), batch_size=st.integers(1, 3), **mu.gcs) def test_mkl_copy(self, width, height, input_channels, batch_size, gc, dc): X = np.random.rand( batch_size, input_channels, width, height).astype(np.float32) self.ws.create_blob("X").feed(X, pb2.DeviceOption()) self.ws.run(core.CreateOperator( "CopyCPUToMKL", ["X"], ["X_MKL"], device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) )) self.ws.run(core.CreateOperator( "CopyMKLToCPU", ["X_MKL"], ["X_copy"], device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) )) np.testing.assert_array_equal(X, self.ws.blobs["X_copy"].fetch()) @given(n=st.sampled_from([0, 10])) def test_mkl_zero_copy(self, n): shape = (0, n) X = np.zeros(shape=shape).astype(np.float32) self.ws.create_blob("X").feed(X, pb2.DeviceOption()) self.ws.run(core.CreateOperator( "CopyCPUToMKL", ["X"], ["X_MKL"], device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) )) self.ws.run(core.CreateOperator( "CopyMKLToCPU", ["X_MKL"], ["X_copy"], device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) )) np.testing.assert_equal(shape, self.ws.blobs["X_copy"].fetch().shape) if __name__ == "__main__": import unittest unittest.main()